RESEARCH FIELDMedical sciences
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE07/04/2019 22:00 - Europe/London
LOCATIONUnited Kingdom › London
TYPE OF CONTRACTTemporary
HOURS PER WEEK35
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / ERC
We are seeking to recruit an enthusiastic, talented Medical Statistician (Assistant Professor) with a sound understanding of a wide range of statistical techniques, excellent programming skills, and an excellent understanding of the impact of epidemiological findings on public health strategies. We welcome applications from candidates worldwide.
The role will mainly focus on VENUSCANCER, a project funded by the European Research Council, which aims to explain the world-wide differences in survival and in avoidable premature deaths for breast, ovarian and cervical cancer, by collecting detailed data on stage, staging procedures, bio-markers and treatment, as well as indicators of socio-economic status and education. VENUSCANCER is embedded in the CONCORD programme, the largest international research programme on population-based cancer survival.
You will join about 30 researchers and support staff in the Cancer Survival Group working on major programmes of research and teaching in cancer survival. The Cancer Survival Group is an international, vibrant and dynamic research group led by Professor Michel Coleman.
You will work independently, and with other statisticians and epidemiologists in the CONCORD Central Analytic Team. The post will involve designing and implementing statistical analyses, planning data synthesis targeted to different audiences, interpreting the implications for population health and providing technical training and leadership to students and early career team members. You will be expected to conduct high-quality research under the supervision of Dr Claudia Allemani. You will lead scientific articles, contribute to research grant proposals, collaborate with external experts and networks, and attend national and international conferences to disseminate research findings.
You will have an MSc in medical statistics or equivalent qualification or experience in medical statistics, and a PhD (or equivalent) in medical statistics, epidemiology or public health. You will have a demonstrated record in statistical programming and analysis (e.g. with Stata).
This full-time position is based in London and available immediately. It is currently funded until 30 April 2023. Prospective candidates seeking further information may contact Dr Claudia Allemani (firstname.lastname@example.org) for an informal discussion.
Applications should be made on-line via the LSTHM website and further details can be found at http://jobs.lshtm.ac.uk.
EURAXESS offer ID: 390299